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Data Engineer – Azure & Databricks

0 years

0 Lacs

delhi india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data azure databricks design analytics pyspark tuning presentation export reporting querying monitoring pipeline automation logic workflow orchestration development sql architecture troubleshooting optimization

Work Mode

On-site

Job Type

Full Time

Job Description

Hybrid Role: Blr/HYD/Pune/Chennai


Data Engineer


Key Responsibilities

  • Develop and optimize

    data pipelines

    using

    Azure Data Factory (ADF)

    for ingestion into

    Azure Databricks (ADB)

    .
  • Implement

    PySpark transformations

    in Databricks with a strong focus on

    performance tuning

    .
  • Build and maintain

    data layers

    (raw, curated, presentation) and ensure efficient

    export strategies

    for reporting and analytics.
  • Work with

    Azure Synapse

    for advanced querying, transformations, and reporting.
  • Configure and manage

    Azure Monitoring & Log Analytics

    for pipeline health, error handling, and automated alerts.
  • Implement automation using

    Logic Apps

    and

    Azure Functions

    for workflow orchestration and integration.
  • Ensure

    high-performance and scalable architecture

    across Databricks, Data Factory, and Synapse.
  • Collaborate with stakeholders to define best practices for

    data access, connection options, and reporting performance

    .


Required Skills

  • Strong hands-on experience with

    Azure Databricks

    (PySpark, performance tuning, data modeling).
  • Proficiency in

    Azure Data Factory (ADF)

    – pipeline development, monitoring, troubleshooting.
  • Solid understanding of

    Azure Synapse Analytics

    (SQL Pools, performance optimization).
  • Experience with

    Azure Monitoring, Log Analytics, and error-handling frameworks

    .
  • Good knowledge of

    Logic Apps & Azure Functions

    for automation and orchestration.
  • Strong understanding of

    data architecture patterns

    (data lakes, data warehouses, reporting layers).
  • Excellent troubleshooting, performance optimization, and analytical skills.


Good to Have

  • Experience with

    CI/CD for data pipelines

    (Azure DevOps).
  • Knowledge of

    Delta Lake and Lakehouse architecture

    .
  • Exposure to BFSI/Insurance domain data solutions.

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